- It is unthinkable that European sites should have to pay royalties in future for know-how developed by engineers and workers in Europe.
- Det är otänkbart att anläggningar i EU i framtiden skulle behöva betala royalties för kunnande som har utvecklats av ingenjörer och arbetstagare i EU.
- The special climate of Yorkshire and the special techniques developed by generations of growers have ensured the special quality of this rhubarb, which is grown when the roots are transferred to dark sheds and the darkness means that the stalks grow up seeking light and produce a very special quality which many top chefs and the finest restaurants recognise as being an exceptional delicacy.
- Yorkshires speciella klimat och de metoder som har utvecklats av generationer av odlare har borgat för en speciell kvalitet hos rabarbern.
- I request that the Commission carry out a similar study for the Black Sea region as well and I also request the use of the CleanSeaNet service, developed by the agency, which allows the detection of oil spill and surveillance in European waters, in the Black Sea region as well.
- Jag begär att kommissionen genomför ett liknande projekt även för Svartahavsregionen och att tjänsten CleanSeaNet, som utvecklats av byrån och som möjliggör upptäckt av oljeutsläpp och övervakning i europeiska vatten, även används i Svarta havet.
show query
SET search_path TO f9miniensv;
WITH
list AS (SELECT
t11.token_id AS t11,
t12.token_id AS t12,
t21.token_id AS t21,
t22.token_id AS t22,
r1.dep_id AS dep1,
r2.dep_id AS dep2
FROM
deprel r1
JOIN depstr s1 ON s1.dep_id = r1.dep_id
JOIN word_align a1 ON a1.wsource = r1.head AND a1.wsource < a1.wtarget
JOIN word_align a2 ON a2.wsource = r1.dependent
JOIN deprel r2 ON r2.head = a1.wtarget AND r2.dependent = a2.wtarget
JOIN depstr s2 ON s2.dep_id = r2.dep_id
JOIN token t11 ON t11.token_id = r1.head
JOIN token t21 ON t21.token_id = r2.head
JOIN token t12 ON t12.token_id = r1.dependent
JOIN token t22 ON t22.token_id = r2.dependent
WHERE
s1.val = 'prep' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'ADP' AND
t22.ctag = 'ADP' AND
t11.lemma_id = 22841 AND
t12.lemma_id = 6140 AND
t21.lemma_id = 38458 AND
t22.lemma_id = 3216),
stats AS (SELECT
sentence_id,
count(DISTINCT token_id) AS c,
count(*) AS c_aligned,
count(DISTINCT wtarget) AS c_target
FROM
token
LEFT JOIN word_align ON wsource = token_id
WHERE
sentence_id IN (
SELECT sentence_id
FROM
list
JOIN token ON token_id IN(t11, t21)
)
GROUP BY sentence_id),
numbered AS (SELECT row_number() OVER () AS i, *
FROM
list),
sentences AS (SELECT *, .2 * (1 / (1 + exp(max(c) OVER (PARTITION BY i) - min(c) OVER (PARTITION BY i)))) +
.8 * (1 / log(avg(c) OVER (PARTITION BY i))) AS w
FROM
(
SELECT i, 1 AS n, sentence_id, ARRAY[t11,t12] AS tokens
FROM
numbered
JOIN token ON token_id = t11
UNION SELECT i, 2 AS n, sentence_id, ARRAY[t21,t22] AS tokens
FROM
numbered
JOIN token ON token_id = t21
) x
JOIN stats USING (sentence_id)
ORDER BY i, n)
SELECT
i,
n,
w,
c,
c_aligned,
c_target,
sentence_id,
string_agg(CASE WHEN lpad THEN ' ' ELSE '' END || '<span class="token' ||
CASE WHEN ARRAY[token_id] <@ tokens THEN ' hl' ELSE '' END || '">' || val || '</span>',
'' ORDER BY token_id ASC) AS s
FROM
sentences
JOIN token USING (sentence_id)
JOIN typestr USING (type_id)
GROUP BY i, n, w, c, c_aligned, c_target, sentence_id
ORDER BY w DESC, i, n;
;